

from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			return {key.lstrip("""-"""): value for key, value in zip(unknown_args[::2]  ,	unknown_args[1::2])}


def 					_UpperCAmelCase				(						):

			'''simple docstring'''



			a_						:						List[str] 							= ArgumentParser(
			    """HuggingFace Datasets CLI tool"""  ,	usage="""datasets-cli <command> [<args>]"""  ,	allow_abbrev=a__)
			a_						:						str 							= parser.add_subparsers(help="""datasets-cli command helpers""")
			set_verbosity_info()

			# Register commands
			ConvertCommand.register_subcommand(a__)
			EnvironmentCommand.register_subcommand(a__)
			TestCommand.register_subcommand(a__)
			RunBeamCommand.register_subcommand(a__)
			DummyDataCommand.register_subcommand(a__)

			# Parse args
			a_							,					a_						:						Optional[int] 							= parser.parse_known_args()
			if not hasattr(a__  ,	"""func"""):
						parser.print_help()
						exit(1)
			a_						:						Tuple 							= parse_unknown_args(a__)

			# Run
			a_						:						Any 							= args.func(a__  ,	**a__)
			service.run()


if __name__ == "__main__":
	main()





from random import randint
from tempfile import TemporaryFile

import numpy as np


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			a_						:						List[Any] 							= 0
			if start < end:
						a_						:						Dict 							= randint(a__  ,	a__)
						a_						:						List[str] 							= a[end]
						a_						:						Tuple 							= a[pivot]
						a_						:						Tuple 							= temp

						a_							,					a_						:						List[Any] 							= _in_place_partition(a__  ,	a__  ,	a__)
						count += _in_place_quick_sort(a__  ,	a__  ,	p - 1)
						count += _in_place_quick_sort(a__  ,	p + 1  ,	a__)
			return count


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			a_						:						Optional[int] 							= 0
			a_						:						Union[str, Any] 							= randint(a__  ,	a__)
			a_						:						Union[str, Any] 							= a[end]
			a_						:						Any 							= a[pivot]
			a_						:						Any 							= temp
			a_						:						int 							= start - 1
			for index in range(a__  ,	a__):
						count += 1
						if a[index] < a[end]:  # check if current val is less than pivot value
									a_						:						str 							= new_pivot_index + 1
									a_						:						Optional[Any] 							= a[new_pivot_index]
									a_						:						str 							= a[index]
									a_						:						Union[str, Any] 							= temp

			a_						:						Union[str, Any] 							= a[new_pivot_index + 1]
			a_						:						Tuple 							= a[end]
			a_						:						Any 							= temp
			return new_pivot_index + 1, count


__snake_case				:      Union[str, Any]   		=			TemporaryFile()
__snake_case				:      Dict   		=			1_00  # 1000 elements are to be sorted


__snake_case		, __snake_case				:      int   		=			0, 1  # mean and standard deviation
__snake_case				:      Tuple   		=			np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
__snake_case				:      str   		=			np.load(outfile)
__snake_case				:      Dict   		=			len(M) - 1
__snake_case				:      Dict   		=			_in_place_quick_sort(M, 0, r)

print(
    """No of Comparisons for 100 elements selected from a standard normal distribution"""
    """is :"""
)



print(z)


